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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Making large AI models cheaper, faster and more accessible

PiRank: Learning to Rank via Differentiable Sorting

Best Practices on Recommendation Systems

High performance distributed framework for training deep learning recommendation models based on PyTorch.

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

A C++ header-only HTTP/HTTPS server and client library

System for building cross-distribution Linux binaries

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Header-only C++ binding for libzmq

Python code for "Probabilistic Machine learning" book by Kevin Murphy

JSON for Modern C++

An implementation of a deep learning recommendation model (DLRM)

The aim of this project is to perform a face swap on a youtube video almost automatically.

Machine Learning Toolkit for Kubernetes

ijcai-2018 top1 solution

Client used to send grcp requests to a tfserving model

A distributed graph deep learning framework.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

A comprehensive collection of recent papers on graph deep learning

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Neural Graph Collaborative Filtering, SIGIR2019

TuShare is a utility for crawling historical data of China stocks